Korean Journal of Nuclear Medicine Technology (Korean J Nucl Med Technol)

Open access, Peer Reviewed

Indexed in KCI, DOAJ

pISSN 1229-9901
eISSN 2982-8406

Original article

A Discussion on Glucose Loading Method in 18F-FDG PET/CT for Cerebral Gliomas

Department of Nuclear Medicine, Severance Hospital, Yonsei University Health System, Seoul, Korea

Correspondence to Yong-Hoon Choi, Department of Nuclear Medicine, Severance Hospital, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Rep. of Korea Tel : +82-02-2228-4865, E-mail : cyhherogood@yuhs.ac

Volume 27, Number 1, Article 9, May 2023. Korean J Nucl Med Technol 2023;27(1):9. https://doi.org/10.12972/kjnmt.20230009
Received on December 07, 2022, Revised on March 24, 2023, Accepted on March 28, 2023, Published on May 31, 2023.
Copyright © 2023 Author(s). This is an Open Access article distributed under the terms of the Creative Commons CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose: The purpose of this study is to determine whether the glucose loading method (GLM) is useful in the differentiation of cerebral gliomas by comparing it with fasting images. Materials and Methods: The patients were 70 people diagnosed with cerebral gliomas, and the equipment was Discovery 710 (GE Healthcare, MI, USA). All patients fasted for more than 6 hours, and fasting images and GLM were performed under the same imaging conditions, and the examination interval was 1 to 14 days. GLM administered 250 ㎖ of 10% glucose solution prior to radiopharmaceutical injection. SUVmax of cerebral glioma and SUVmean of cerebral cortex were measured and then compared and analyzed by tumor-to-normal brain cortex ratio (TNR). Statistical analysis confirmed the difference between the two images with an independent-sample t-test. Results: The averages of GLM and fasting TNR were 1.26 and 1.09, respectively, which were 15.6% higher in GLM. In low-grade, the difference in TNR was insignificant at 4%, but in high-grade, 23%, GLM was high. There was a statistically significant difference between the two images (P=0.008), but there was no statistically significant difference in TNR in the low grade (P=0.473), and there was a very significant difference in the high grade (P=0.005). Conclusion: GLM increased TNR for cerebral gliomas. In particular, it was found that the TNR increased more in the high grade. Therefore, GLM is considered to be useful for the differentiation of high-grade gliomas.
Keywords

GLM, TNR, High-Grade

Section